Erratum: “Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment”
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چکیده
منابع مشابه
Erratum: "Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment"
Correction for the list of authors in the refer-ence (Seddah et al., 2013).Correction for the list of authors in the refer-ence (Seddah et al., 2013). ReferencesDjamé Seddah, Reut Tsarfaty, Sandra Kübler, Marie Can-dito, Jinho D. Choi, Richárd Farkas, Jennifer Fos-ter, Iakes Goenaga, Koldo Gojenola Galletebeitia,Yoav Goldberg, Spence Green, Nizar Habash, Marco<lb...
متن کاملExploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
Prepositional phrase (PP) attachment disambiguation is a known challenge in syntactic parsing. The lexical sparsity associated with PP attachments motivates research in word representations that can capture pertinent syntactic and semantic features of the word. One promising solution is to use word vectors induced from large amounts of raw text. However, state-of-the-art systems that employ suc...
متن کاملPrepositional Phrase Attachment over Word Embedding Products
We present a low-rank multi-linear model for the task of solving prepositional phrase attachment ambiguity (PP task). Our model exploits tensor products of word embeddings, capturing all possible conjunctions of latent embeddings. Our results on a wide range of datasets and task settings show that tensor products are the best compositional operation and that a relatively simple multi-linear mod...
متن کاملNeural Network Architectures for Prepositional Phrase Attachment Disambiguation
This thesis addresses the problem of Prepositional Phrase (PP) attachment disambiguation, a key challenge in syntactic parsing. In natural language sentences, a PP may often be attached to several possible candidates. While humans can usually identify the correct candidate successfully, syntactic parsers are known to have high error rated on this kind of construction. This work explores the use...
متن کاملThesauruses for Prepositional Phrase Attachment
Probabilistic models have been effective in resolving prepositional phrase attachment ambiguity, but sparse data remains a significant problem. We propose a solution based on similarity-based smoothing, where the probability of new PPs is estimated with information from similar examples generated using a thesaurus. Three thesauruses are compared on this task: two existing generic thesauruses an...
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ژورنال
عنوان ژورنال: Transactions of the Association for Computational Linguistics
سال: 2015
ISSN: 2307-387X
DOI: 10.1162/tacl_a_00125